Senior Product Manager, AI/ML Platform
Senior Product Manager, AI/ML Platform

Senior Product Manager, AI/ML Platform

London Full-Time 43200 - 72000 ÂŁ / year (est.) No home office possible
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At a Glance

  • Tasks: Lead the product strategy for our cutting-edge AI/ML platform, driving innovation and collaboration.
  • Company: Join GSK's Onyx Research Data Tech, revolutionising medical discovery through data and AI.
  • Benefits: Enjoy a dynamic work environment with opportunities for growth, remote work options, and competitive perks.
  • Why this job: Be at the forefront of AI/ML advancements, making a real impact on healthcare and research.
  • Qualifications: Bachelor’s in Computer Science or related field; 4+ years in AI/ML product development required.
  • Other info: Ideal for those passionate about technology and eager to shape the future of medical research.

The predicted salary is between 43200 - 72000 ÂŁ per year.

The Onyx Research Data Tech organization is GSK’s Research data ecosystem which has the capability to bring together, analyze, and power the exploration of data at scale. We partner with scientists across GSK to define and understand their challenges and develop tailored solutions that meet their needs. The goal is to ensure scientists have the right data and insights when they need it to give them a better starting point for and accelerate medical discovery. Ultimately, this helps us get ahead of disease in more predictive and powerful ways.

Onyx is a full-stack shop consisting of product and portfolio leadership, data engineering, infrastructure and DevOps, data / metadata / knowledge platforms, and AI/ML and analysis platforms, all geared toward:

  • Building a next-generation, metadata- and automation-driven data experience for GSK’s scientists, engineers, and decision-makers, increasing productivity and reducing time spent on “data mechanics”.
  • Providing best-in-class AI/ML and data analysis environments to accelerate our predictive capabilities and attract top-tier talent.
  • Aggressively engineering our data at scale, as one unified asset, to unlock the value of our unique collection of data and predictions in real-time.

Onyx Product Management is at the heart of our mission, ensuring that everything from our infrastructure, to platforms, to end-user facing data assets and environments is designed to maximize our impact on R&D. The Product Management team partners with R&D stakeholders and Onyx leadership to develop a strategic roadmap for all customer-facing aspects of Onyx, including data assets, ontology, Knowledge Graph / semantic search, data / computing / analysis platforms, and data-powered applications.

We are seeking a highly skilled and experienced Senior Product Manager, AIML Platform. In this role, you will be responsible for developing the product strategy of our AI/ML Platform to meet customer needs. You will partner closely with the leaders of Onyx’s customer organizations, including AI/ML, a diversity of R&D teams utilizing data to accelerate drug discovery (genomics sciences, computational biology, imaging, computational chemistry, to name a few), along with the Onyx portfolio management and engineering function heads to deliver industry-leading solutions that power AI/ML workloads. You will drive the product roadmap, guide product development initiatives, and ensure the successful launch and adoption of our AI/ML Platform. Together, you will facilitate joint planning and execution of the product roadmap, ensuring a balance between strategic development and customer-facing deliverables. You will also play a key role in devising, tracking, and publicizing metrics that measure the impact and performance of Onyx AI/ML platform products. Additionally, as the organization scales, you will be responsible for hiring, developing, and retaining a talented team of Product Managers who possess a deep understanding of the business areas, Onyx capabilities, and how to translate customer needs into requirements aligned with standard frameworks such as ontologies and engineering pipelines. This ensures our AI/ML scientists receive the solutions they need to succeed.

Key Responsibilities:

  • Product Strategy: Develop and execute a comprehensive product strategy for our AI/ML Platform product, aligning with Onyx’s overall goals and objectives.
  • Roadmap Development: Define and prioritize features, enhancements, and functionalities for the platform based on user analysis, customer feedback, and business requirements.
  • Cross-functional Collaboration: Collaborate closely with engineering, AI/ML, and portfolio teams to ensure successful product development and deployment.
  • Stakeholder Engagement: Collaborate with customers, partners, and internal stakeholders to understand their needs, gather feedback, and incorporate it into product planning and development processes.
  • Product Launch: Plan and oversee product launches, ensuring effective communication, documentation, and training to drive product adoption and success.
  • Performance Measurement: Define key product metrics, establish monitoring systems, and regularly evaluate and report on the performance and success of the AI/ML platform.
  • Product Ambassador: Serve as an ambassador of the AI/ML platform, effectively communicating its value and benefits to GSK Research and Development leadership and identifying potential customers.
  • Industry Expertise: Stay up to date with the latest advancements and trends in AI, machine learning, and compute platforms, applying industry knowledge to drive innovation and competitive advantage.
  • Team Leadership: Manage and mentor a team of product managers, providing guidance, support, and fostering a culture of innovation and excellence.

Why You?

Basic Qualifications:

  • Bachelor’s degree in Computer Science, Machine Learning/AI, or related discipline.
  • 4+ years of product and/or engineering experience building AI/ML software.
  • 2+ years of experience building cloud-based products.
  • 2+ years of experience with at least one major cloud-based AI model development service, like Azure, Google Cloud’s Vertex AI, or AWS platforms.

Preferred Qualifications:

  • Mastery of the English language, excellent communication and technical writing skills.
  • Strong understanding of SDLC best practices, including experience with CICD and virtualization /containers.
  • Strong understanding of MLOps.
  • Experience with ML batch training and inference.
  • Experience with ML Experiment tracking.
  • Experience with ML Serving.
  • Experience with High Performance Computing.
  • Experience developing in Python or another commonly used scripting language.
  • Robust experience in AI model development across the full model lifecycle and with multiple mediums (natural language, computer vision, sequences, etc.).
  • Proven track record of managing developer platforms, tools, and / or services, ideally for research.
  • Strong proficiency in utilizing various product management tools, including Jira and Confluence. Prior product management experience of enterprise AI/ML platform is strongly preferred.
  • Strategic Thinker: Proven track record in developing and executing product strategies that drive business growth and customer satisfaction.
  • Leadership Skills: Demonstrated ability to lead and inspire cross-functional teams, set clear objectives, and foster a collaborative and innovative work environment.
  • Customer Focus: A customer-centric mindset with a deep understanding of customer needs and the ability to translate them into effective product solutions.
  • Analytical and Data-Driven: Strong analytical skills with the ability to gather and interpret data, perform market research, and make data-driven decisions.
  • Excellent Communication: Exceptional written and verbal communication skills, with the ability to effectively present complex ideas and concepts to both technical and non-technical audiences.
  • Adaptability: Thrives in a fast-paced, dynamic environment and can adapt quickly to changing priorities and business needs.

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Contact Detail:

GlaxoSmithKline Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Product Manager, AI/ML Platform

✨Tip Number 1

Familiarise yourself with the latest trends in AI and machine learning. Being well-versed in current technologies and methodologies will not only help you during interviews but also demonstrate your passion for the field.

✨Tip Number 2

Network with professionals in the AI/ML space, especially those who work in product management. Attend industry conferences or webinars to connect with potential colleagues and gain insights into the role and company culture.

✨Tip Number 3

Prepare to discuss specific examples of how you've successfully managed product strategies in the past. Highlight your experience with cloud-based products and any relevant metrics that showcase your impact on previous projects.

✨Tip Number 4

Research GSK's Onyx platform and its current offerings. Understanding their products and how they align with customer needs will allow you to speak knowledgeably about how you can contribute to their mission during the interview.

We think you need these skills to ace Senior Product Manager, AI/ML Platform

Product Strategy Development
Roadmap Development
Cross-functional Collaboration
Stakeholder Engagement
Product Launch Management
Performance Measurement
Industry Expertise in AI/ML
Team Leadership and Mentoring
Cloud-based Product Development
Understanding of SDLC Best Practices
MLOps Knowledge
Experience with ML Batch Training and Inference
Experience with ML Experiment Tracking
Experience with ML Serving
High Performance Computing Experience
Proficiency in Python or Scripting Languages
AI Model Development Across Full Lifecycle
Utilisation of Product Management Tools (Jira, Confluence)
Strategic Thinking
Customer-Centric Mindset
Analytical Skills
Excellent Communication Skills
Adaptability in Fast-Paced Environments

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant experience in AI/ML product management. Focus on your achievements in developing product strategies and managing cross-functional teams, as these are key aspects of the role.

Craft a Compelling Cover Letter: In your cover letter, express your passion for AI/ML and how your background aligns with GSK's mission. Mention specific projects or experiences that demonstrate your ability to drive product development and engage stakeholders.

Showcase Your Technical Skills: Clearly outline your technical skills related to AI/ML platforms, cloud services, and product management tools. Highlight any experience you have with Python, MLOps, and high-performance computing, as these are crucial for the position.

Demonstrate Leadership Experience: Provide examples of how you've led teams or projects in the past. Emphasise your ability to mentor others and foster a collaborative environment, as this is an important aspect of the Senior Product Manager role.

How to prepare for a job interview at GlaxoSmithKline

✨Understand the Product Landscape

Before your interview, make sure you have a solid grasp of the AI/ML landscape, especially as it pertains to GSK's Onyx platform. Familiarise yourself with their current offerings and how they integrate with R&D processes. This will help you speak confidently about how you can contribute to their goals.

✨Showcase Your Cross-Functional Collaboration Skills

Given the role's emphasis on collaboration with various teams, prepare examples from your past experiences where you've successfully worked across different functions. Highlight how you facilitated communication and drove projects forward, as this will resonate well with the interviewers.

✨Prepare for Technical Questions

Expect technical questions related to AI/ML, cloud-based products, and product management tools like Jira and Confluence. Brush up on your knowledge of MLOps, ML batch training, and high-performance computing to demonstrate your expertise in these areas.

✨Demonstrate a Customer-Centric Mindset

Be ready to discuss how you gather customer feedback and translate it into actionable product strategies. Share specific examples of how you've prioritised customer needs in your previous roles, as this aligns perfectly with the expectations for the Senior Product Manager position.

Senior Product Manager, AI/ML Platform
GlaxoSmithKline
Location: London
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  • Senior Product Manager, AI/ML Platform

    London
    Full-Time
    43200 - 72000 ÂŁ / year (est.)
  • G

    GlaxoSmithKline

    5000-10000
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